Hillebrand, Kirsten
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Item type:Publication, The Social dilemma of Big Data: donating personal data to promote social welfare(2021-03); When using digital devices and services, individuals provide their personal data to organizations in exchange for gains in various domains of life. Organizations use these data to run technologies such as smart assistants, augmented reality, and robotics. Most often, these organizations seek to make a profit. Individuals can, however, also provide personal data to public databases that enable nonprofit organizations to promote social welfare if sufficient data are contributed. Regulators have therefore called for efficient ways to help the public collectively benefit from its own data. By implementing an online experiment among 1,696 US citizens, we find that individuals would donate their data even when at risk of getting leaked. The willingness to provide personal data depends on the risk level of a data leak but not on a realistic impact of the data on social welfare. Individuals are less willing to donate their data to the private industry than to academia or the government. Finally, individuals are not sensitive to whether the data are processed by a human-supervised or a self-learning smart assistant.ReportBand:0002409 1287 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobilizing citizen data for society 5.0(2021-07-22); ; ; Scholars have long been concerned with the question of how the well-being of society and its individuals change in the face of technological progress, and how its ambiguity may be resolved (e.g., Ashton 1948, Crafts 1985, Deane and Cole 1962, Rostow 1960). The pressure and responsibility to find answers have never been greater than today. Despite the complexity and diversity of today’s innovations, a majority build on one key resource: data. Hence, the question of how technical progress can benefit society inevitably implies the question of data governance. Among politicians and academics, a specific term is currently emerging for a vision of society in which data and data-driven technology is primarily mobilized for the goal of maximizing social welfare and individual well-being: Society 5.0 (e.g., Cabinet Office 2016, Deguchi et al. 2020, Salgues 2018). Following the vision of Society 5.0, this dissertation aims to make a small contribution to increasing the availability and quality of data for the benefit of social welfare. For this purpose, it focuses on a promising approach that is currently receiving increasing attention in academia and practice alike: the active participation of citizens. First, citizens may deliberately create new data sets that did not exist before, e.g., through measurements, documentation, or surveys (e.g., Lämmerhirt et al. 2018). Second, citizens may share data sets with social welfare-oriented actors that they already automatically generated through the use of private industry products and services (World Bank 2021). Both approaches contribute to reallocate data and increase their quality in favor of society and its individuals.doctoral thesis555 606